A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
Repository Index
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Foundation Models for Genomics & Transcriptomics
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
- dna
- k-mer
- python
- bloom-filter
Genomic sequence storage, indexing and alignment inside PostgreSQL: https://bioseqdb.com/
- alignment
- bioinformatics
- biology
- database
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
LLM for Drug Editing, ICLR 2024
- chatgpt
- conversation
- drug
- drug-discovery
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.